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                    线性模型
            
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                    计算学习理论
            
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                                <h1 id="&#x897F;&#x74DC;&#x4E66;&#x6982;&#x5FF5;">&#x897F;&#x74DC;&#x4E66;&#x6982;&#x5FF5;</h1>
<h2 id="&#x7B2C;&#x4E00;&#x7AE0;-&#x7EEA;&#x8BBA;">&#x7B2C;&#x4E00;&#x7AE0; &#x7EEA;&#x8BBA;</h2>
<ul>
<li><p>Page2: &#x6807;&#x8BB0;&#xFF08;label)</p>
<p>  &#x793A;&#x4F8B;&#x7ED3;&#x679C;&#x7684;&#x4FE1;&#x606F;&#xFF0C;&#x4F8B;&#x5982;&#x201C;&#x597D;&#x74DC;&#x201D;&#xFF0C;&#x79F0;&#x4E3A;&#x6807;&#x8BB0;</p>
</li>
<li><p>Page2: &#x5047;&#x8BBE;(269)(hypothesis)</p>
<p>  &#x5B66;&#x5F97;&#x6A21;&#x578B;&#x5BF9;&#x5E94;&#x4E86;&#x6570;&#x636E;&#x7684;&#x67D0;&#x79CD;&#x6F5C;&#x5728;&#x7684;&#x89C4;&#x5F8B;&#xFF0C;&#x56E0;&#x6B64;&#x4EA6;&#x79F0;&#x5047;&#x8BBE;</p>
</li>
<li><p>Page2: &#x793A;&#x4F8B;(instance)</p>
<p>  &#x6570;&#x636E;&#x96C6;&#x4E2D;&#x7684;&#x6BCF;&#x6761;&#x8BB0;&#x5F55;&#x662F;&#x5173;&#x4E8E;&#x67D0;&#x4E2A;&#x4E8B;&#x4EF6;&#x6216;&#x5BF9;&#x8C61;&#x7684;&#x63CF;&#x8FF0;&#xFF0C;&#x79F0;&#x4E3A;&#x4E00;&#x4E2A;&#x201C;&#x793A;&#x4F8B;&#x201D;&#x6216;&#x201C;&#x6837;&#x672C;&#x201D;</p>
</li>
<li><p>Page2: &#x5C5E;&#x6027;(attribute)</p>
<p>  &#x53CD;&#x6620;&#x4E8B;&#x52A1;&#x6216;&#x5BF9;&#x8C61;&#x5728;&#x67D0;&#x65B9;&#x9762;&#x7684;&#x8868;&#x73B0;&#x6216;&#x6027;&#x8D28;&#x7684;&#x4E8B;&#x9879;&#xFF0C;&#x5982;&#x201C;&#x8272;&#x6CFD;&#x201D;&#xFF0C;&#x79F0;&#x4E3A;&#x5C5E;&#x6027;&#x6216;&#x7279;&#x5F81;</p>
</li>
<li><p>Page2: &#x5C5E;&#x6027;&#x7A7A;&#x95F4;(attribute space)</p>
<p>  &#x5C5E;&#x6027;&#x957F;&#x6210;&#x7684;&#x7A7A;&#x95F4;&#x79F0;&#x4E3A;&#x5C5E;&#x6027;&#x7A7A;&#x95F4;&#xFF0C;&#x6837;&#x672C;&#x7A7A;&#x95F4;&#xFF0C;&#x6216;&#x8F93;&#x5165;&#x7A7A;&#x95F4;</p>
</li>
<li><p>Page2: &#x6570;&#x636E;&#x96C6;(data set)</p>
<p>  &#x6570;&#x636E;&#x8BB0;&#x5F55;&#x7684;&#x96C6;&#x5408;&#x79F0;&#x4E3A;&#x4E00;&#x4E2A;&#x6570;&#x636E;&#x96C6;</p>
</li>
<li><p>Page2: &#x7279;&#x5F81;(247)(feature)</p>
<p>  &#x540C;&#x5C5E;&#x6027;</p>
</li>
<li><p>Page2: &#x5B66;&#x4E60;(learning)</p>
<p>  &#x4ECE;&#x6570;&#x636E;&#x4E2D;&#x5B66;&#x5F97;&#x6A21;&#x578B;&#x7684;&#x8FC7;&#x7A0B;&#x79F0;&#x4E3A;&#x5B66;&#x4E60;&#x6216;&#x8BAD;&#x7EC3;</p>
</li>
<li><p>Page2: &#x5B66;&#x4E60;&#x5668;(learner)</p>
<p>  &#x5B66;&#x4E60;&#x8FC7;&#x7A0B;&#x5C31;&#x662F;&#x4E3A;&#x4E86;&#x627E;&#x51FA;&#x6216;&#x903C;&#x8FD1;&#x771F;&#x76F8;&#xFF0C;&#x6709;&#x65F6;&#x5C06;&#x6A21;&#x578B;&#x79F0;&#x4F5C;&#x5B66;&#x4E60;&#x5668;</p>
</li>
<li><p>Page2: &#x8BAD;&#x7EC3;(training)</p>
<p>  &#x540C;&#x5B66;&#x4E60;</p>
</li>
<li><p>Page2: &#x8BAD;&#x7EC3;&#x96C6;(training data)</p>
<p>  &#x8BAD;&#x7EC3;&#x8FC7;&#x7A0B;&#x4E2D;&#x4F7F;&#x7528;&#x7684;&#x6570;&#x636E;&#x79F0;&#x4E3A;&#x201C;&#x8BAD;&#x7EC3;&#x96C6;&#x201D;&#xFF0C;&#x5176;&#x4E2D;&#x6BCF;&#x4E2A;&#x6837;&#x672C;&#x79F0;&#x4E3A;&#x4E00;&#x4E2A;&#x201C;&#x8BAD;&#x7EC3;&#x6837;&#x672C;&#x201D;&#xFF0C;&#x8BAD;&#x7EC3;&#x6837;&#x672C;&#x7EC4;&#x6210;&#x7684;&#x96C6;&#x5408;&#x79F0;&#x4E3A;&#x8BAD;&#x7EC3;&#x96C6;</p>
</li>
<li><p>Page2: &#x8BAD;&#x7EC3;&#x6837;&#x672C;(training sample)</p>
<p>  &#x89C1;&#x8BAD;&#x7EC3;&#x96C6;</p>
</li>
<li><p>Page2: &#x6837;&#x672C;(sample)</p>
<p>  &#x540C;&#x793A;&#x4F8B;</p>
</li>
<li><p>Page2: &#x6837;&#x672C;&#x7A7A;&#x95F4;(sample space)</p>
<p>  &#x540C;&#x5C5E;&#x6027;&#x7A7A;&#x95F4;</p>
</li>
<li><p>Page2: &#x6837;&#x4F8B;(sample)</p>
<p>  &#x540C;&#x793A;&#x4F8B;&#xFF08;instance&#xFF09;</p>
</li>
<li><p>Page2: &#x771F;&#x76F8;(ground-truth)</p>
<p>  &#x6F5C;&#x5728;&#x89C4;&#x5F8B;&#x672C;&#x8EAB;&#x79F0;&#x4E3A;&#x771F;&#x76F8;&#x6216;&#x771F;&#x5B9E;</p>
</li>
<li><p>Page3: &#x6807;&#x8BB0;&#x7A7A;&#x95F4;(label space)</p>
<p>  &#x6240;&#x6709;&#x6807;&#x8BB0;&#x7684;&#x96C6;&#x5408;&#x79F0;&#x4E3A;&#x6807;&#x8BB0;&#x7A7A;&#x95F4;&#x6216;&#x8F93;&#x51FA;&#x7A7A;&#x95F4;</p>
</li>
<li><p>Page3: &#x6D4B;&#x8BD5;(testing)</p>
<p>  &#x5B66;&#x5F97;&#x6A21;&#x578B;&#x540E;&#xFF0C;&#x4F7F;&#x7528;&#x5176;&#x8FDB;&#x884C;&#x9884;&#x6D4B;&#x7684;&#x8FC7;&#x7A0B;&#x79F0;&#x4E3A;&#x6D4B;&#x8BD5;&#xFF0C;&#x88AB;&#x9884;&#x6D4B;&#x7684;&#x6837;&#x672C;&#x79F0;&#x4E3A;&#x6D4B;&#x8BD5;&#x6837;&#x672C;</p>
</li>
<li><p>Page3: &#x6D4B;&#x8BD5;&#x6837;&#x672C;(testing sample)</p>
<p>  &#x89C1;&#x6D4B;&#x8BD5;</p>
</li>
<li><p>Page3: &#x7C07;(197)&#xFF08;cluster&#xFF09;</p>
<p>  &#x5C06;&#x8BAD;&#x7EC3;&#x96C6;&#x4E2D;&#x7684;&#x897F;&#x74DC;&#x5206;&#x6210;&#x82E5;&#x5E72;&#x7EC4;&#xFF0C;&#x79F0;&#x4E3A;&#x805A;&#x7C7B;&#xFF0C;&#x6BCF;&#x4E2A;&#x7EC4;&#x79F0;&#x4E3A;&#x4E00;&#x4E2A;&#x7C07;</p>
</li>
<li><p>Page3: &#x72EC;&#x7ACB;&#x540C;&#x5206;&#x5E03;(267)&#xFF08;independent and identically distributed&#xFF09;</p>
<p>  &#x6211;&#x4EEC;&#x83B7;&#x5F97;&#x7684;&#x6BCF;&#x4E2A;&#x6837;&#x672C;&#x90FD;&#x662F;&#x72EC;&#x7ACB;&#x7684;&#x4ECE;&#x4E00;&#x4E2A;&#x5206;&#x5E03;&#x4E0A;&#x91C7;&#x6837;&#x83B7;&#x5F97;&#x7684;&#xFF0C;&#x5373;&#x201C;&#x72EC;&#x7ACB;&#x540C;&#x5206;&#x5E03;&#x201D;</p>
</li>
<li><p>Page3: &#x591A;&#x5206;&#x7C7B;&#xFF08;multi-class classification&#xFF09;</p>
<p>  &#x9884;&#x6D4B;&#x503C;&#x6D89;&#x53CA;&#x591A;&#x4E2A;&#x7C7B;&#x522B;&#x65F6;&#xFF0C;&#x79F0;&#x4E3A;&#x201C;&#x591A;&#x5206;&#x7C7B;&#x201D;</p>
</li>
<li><p>Page3: &#x4E8C;&#x5206;&#x7C7B;&#xFF08;binary classification)</p>
<p>  &#x9884;&#x6D4B;&#x503C;&#x8BBE;&#x8BA1;&#x4E24;&#x4E2A;&#x5206;&#x7C7B;&#x7684;&#x4EFB;&#x52A1;</p>
</li>
<li><p>Page3: &#x6CDB;&#x5316;&#xFF08;121&#xFF0C;350&#xFF09;&#xFF08;generalization)</p>
<p>  &#x5B66;&#x5F97;&#x6A21;&#x578B;&#x9002;&#x7528;&#x4E8E;&#x65B0;&#x6837;&#x672C;&#x7684;&#x80FD;&#x529B;&#xFF0C;&#x79F0;&#x4E3A;&#x201C;&#x6CDB;&#x5316;&#x201D;&#x80FD;&#x529B;</p>
</li>
<li><p>Page3: &#x5206;&#x7C7B;&#xFF08;classification)</p>
<p>  &#x5982;&#x679C;&#x9884;&#x6D4B;&#x7684;&#x662F;&#x79BB;&#x6563;&#x503C;&#xFF0C;&#x6B64;&#x7C7B;&#x5B66;&#x4E60;&#x4EFB;&#x52A1;&#x79F0;&#x4E3A;&#x5206;&#x7C7B;</p>
</li>
<li><p>Page3: &#x56DE;&#x5F52;&#xFF08;regression&#xFF09;</p>
<p>  &#x5982;&#x679C;&#x9884;&#x6D4B;&#x7684;&#x503C;&#x662F;&#x8FDE;&#x7EED;&#x503C;&#xFF0C;&#x6B64;&#x7C7B;&#x5B66;&#x4E60;&#x4EFB;&#x52A1;&#x79F0;&#x4E3A;&#x56DE;&#x5F52;</p>
</li>
<li><p>Page3: &#x76D1;&#x7763;&#x5B66;&#x4E60;&#xFF08;supervised learning&#xFF09;</p>
<p>  &#x6839;&#x636E;&#x8BAD;&#x7EC3;&#x6570;&#x636E;&#x662F;&#x5426;&#x62E5;&#x6709;&#x6807;&#x8BB0;&#x4FE1;&#x606F;&#xFF0C;&#x5B66;&#x4E60;&#x4EFB;&#x52A1;&#x53EF;&#x4EE5;&#x5927;&#x81F4;&#x5206;&#x4E3A;&#x4E24;&#x5927;&#x7C7B;&#xFF1A;&#x76D1;&#x7763;&#x5B66;&#x4E60;&#x548C;&#x65E0;&#x76D1;&#x7763;&#x5B66;&#x4E60;&#xFF0C;&#x5206;&#x7C7B;&#x548C;&#x56DE;&#x5F52;&#x662F;&#x524D;&#x8005;&#x7684;&#x4EE3;&#x8868;&#xFF0C;&#x805A;&#x7C7B;&#x662F;&#x540E;&#x8005;&#x7684;&#x4EE3;&#x8868;</p>
</li>
<li><p>Page3: &#x805A;&#x7C7B;(197)&#xFF08;clustering&#xFF09;</p>
<p>  &#x89C1;&#x7C07;</p>
</li>
<li><p>Page3: &#x65E0;&#x5BFC;&#x5E08;&#x5B66;&#x4E60;</p>
<p>  &#x540C;&#x65E0;&#x76D1;&#x7763;&#x5B66;&#x4E60;</p>
</li>
<li><p>Page3: &#x65E0;&#x76D1;&#x7763;&#x5B66;&#x4E60;(197)&#xFF08;unsupervised learning&#xFF09;</p>
<p>  &#x89C1;&#x6709;&#x76D1;&#x7763;&#x5B66;&#x4E60;</p>
</li>
<li><p>Page3: &#x6709;&#x5BFC;&#x5E08;&#x5B66;&#x4E60;</p>
<p>  &#x540C;&#x6709;&#x76D1;&#x7763;&#x5B66;&#x4E60;</p>
</li>
<li><p>Page4: &#x6982;&#x5FF5;&#x5B66;&#x4E60;(17)&#xFF08;concept learning&#xFF09;</p>
<p>  &#x5E7F;&#x4E49;&#x7684;&#x5F52;&#x7EB3;&#x5B66;&#x4E60;&#x5927;&#x4F53;&#x76F8;&#x5F53;&#x4E8E;&#x4ECE;&#x6837;&#x4F8B;&#x4E2D;&#x5B66;&#x4E60;&#xFF0C;&#x800C;&#x72ED;&#x4E49;&#x7684;&#x5F52;&#x7EB3;&#x5B66;&#x4E60;&#x5219;&#x8981;&#x6C42;&#x4ECE;&#x8BAD;&#x7EC3;&#x6570;&#x636E;&#x4E2D;&#x5B66;&#x5F97;&#x6982;&#x5FF5;&#xFF0C;&#x56E0;&#x6B64;&#x4EA6;&#x79F0;&#x4E3A;&#x6982;&#x5FF5;&#x5B66;&#x4E60;&#x6216;&#x6982;&#x5FF5;&#x5F62;&#x6210;</p>
</li>
<li><p>Page4: &#x5F52;&#x7EB3;&#x5B66;&#x4E60;(11)&#xFF08;inductive learning&#xFF09;</p>
<p>  &#x4ECE;&#x6837;&#x4F8B;&#x4E2D;&#x5B66;&#x4E60;</p>
</li>
<li><p>Page5: &#x7248;&#x672C;&#x7A7A;&#x95F4;&#xFF08;version space&#xFF09;</p>
<p>  &#x5B58;&#x5728;&#x7740;&#x4E00;&#x4E2A;&#x4E0E;&#x8BAD;&#x7EC3;&#x96C6;&#x4E00;&#x81F4;&#x7684;&#x5047;&#x8BBE;&#x96C6;&#x5408;&#xFF0C;&#x79F0;&#x4E4B;&#x4E3A;&#x201C;&#x7248;&#x672C;&#x7A7A;&#x95F4;&#x201D;</p>
</li>
<li><p>Page6: &#x5F52;&#x7EB3;&#x504F;&#x597D;&#xFF08;inductive bias&#xFF09;</p>
<p>  &#x673A;&#x5668;&#x5B66;&#x4E60;&#x7B97;&#x6CD5;&#x5728;&#x5B66;&#x4E60;&#x8FC7;&#x7A0B;&#x4E2D;&#x5BF9;&#x67D0;&#x79CD;&#x7C7B;&#x578B;&#x5047;&#x8BBE;&#x7684;&#x504F;&#x597D;&#xFF0C;&#x79F0;&#x4E3A;&#x5F52;&#x7EB3;&#x504F;&#x597D;</p>
</li>
<li><p>Page6: &#x504F;&#x597D;</p>
<p>  &#x540C;&#x5F52;&#x7EB3;&#x504F;&#x597D;</p>
</li>
<li><p>Page7: &#x5965;&#x5361;&#x59C6;&#x5243;&#x5200;(17)&#xFF08;Occam&apos;s razor&#xFF09;</p>
<p>  &#x82E5;&#x6709;&#x591A;&#x4E2A;&#x5047;&#x8BBE;&#x4E0E;&#x89C2;&#x5BDF;&#x4E00;&#x81F4;&#xFF0C;&#x5219;&#x9009;&#x6700;&#x7B80;&#x5355;&#x7684;&#x90A3;&#x4E2A;</p>
</li>
<li><p>Page10: &#x7B26;&#x53F7;&#x4E3B;&#x4E49;(363)&#xFF08;symbolism&#xFF09;</p>
<p>  &#x57FA;&#x4E8E;&#x903B;&#x8F91;&#x8868;&#x793A;</p>
</li>
<li><p>Page10: &#x8FDE;&#x63A5;&#x4E3B;&#x4E49;&#xFF08;connectionism&#xFF09;</p>
<p>  &#x57FA;&#x4E8E;&#x795E;&#x7ECF;&#x7F51;&#x7EDC;</p>
</li>
<li><p>Page10: &#x4EBA;&#x5DE5;&#x667A;&#x80FD;</p>
<p>  &#x6709;&#x5F88;&#x591A;&#x79CD;&#x8BF4;&#x6CD5;&#x3002;&#x3002;&#x89C1;&#x4EC1;&#x89C1;&#x667A;</p>
</li>
<li><p>Page11: &#x673A;&#x68B0;&#x5B66;&#x4E60;</p>
<p>  &#x4FE1;&#x606F;&#x5B58;&#x50A8;&#x4E0E;&#x68C0;&#x7D22;</p>
</li>
<li><p>Page11: &#x7C7B;&#x6BD4;&#x5B66;&#x4E60;</p>
<p>  &#x901A;&#x8FC7;&#x89C2;&#x5BDF;&#x548C;&#x53D1;&#x73B0;&#x5B66;&#x4E60;</p>
</li>
<li><p>Page11: &#x793A;&#x6559;&#x5B66;&#x4E60;</p>
<p>  &#x4ECE;&#x6307;&#x4EE4;&#x4E2D;&#x5B66;&#x4E60;</p>
</li>
<li><p>Page12: &#x7EDF;&#x8BA1;&#x5B66;&#x4E60;(139)</p>
<p>  &#x5982;SVM&#xFF0C;&#x6838;&#x65B9;&#x6CD5;</p>
</li>
<li><p>Page14: &#x6570;&#x636E;&#x6316;&#x6398;</p>
<p>  &#x4ECE;&#x6D77;&#x91CF;&#x6570;&#x636E;&#x4E2D;&#x53D1;&#x6398;&#x77E5;&#x8BC6;</p>
</li>
<li>Page16: WEKA</li>
<li><p>Page17: &#x8FC1;&#x79FB;&#x5B66;&#x4E60;</p>
<p>  &#x7C7B;&#x6BD4;&#x5B66;&#x4E60;&#x5347;&#x7EA7;&#x7248;</p>
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